Position Overview:
We are seeking a highly skilled Senior Computational Biologist with a strong background in oncology to join our dynamic team. The successful candidate will play a crucial role in driving our research efforts by applying computational methods to analyze large-scale genomic and proteomic datasets, identify novel therapeutic targets, and optimize treatment strategies for various types of cancer.
Responsibilities:
- Lead the design, development, and implementation of computational algorithms and models to analyze multi-omics data sets (genomic, transcriptomic, proteomic) related to cancer.
- Collaborate with cross-functional teams including biologists, clinicians, and bioinformaticians to interpret data and generate actionable insights.
- Apply machine learning and statistical techniques to uncover patterns and biomarkers associated with cancer progression, drug response, and resistance.
- Contribute to the identification and validation of potential drug targets through integrative analysis of omics data and literature mining.
- Stay abreast of the latest advancements in computational biology, oncology, and bioinformatics to drive innovation within the company.
- Expertise in analyzing large-scale genomic and proteomic datasets using programming languages such as Python, R, or MATLAB.
Pay is 75-85 an hour.
Benefits are includied.
